O. Dekel

Most-cited papers

Online Passive-Aggressive Algorithms
K. Crammer, O. Dekel, Joseph Keshet, S. Shalev-Shwartz +1 more
2003Journal of machine learning research2,139 citations
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Optimal Distributed Online Prediction Using Mini-Batches
O. Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
2010Journal of machine learning research732 citations
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Adaptive Neural Networks for Efficient Inference
T. Bolukbasi, Joseph Wang, O. Dekel, Venkatesh Saligrama
2017International Conference on Machine Learning448 citations
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Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.
Alekh Agarwal, O. Dekel, Lin Xiao
2010Annual Conference Computational Learning Theory408 citations
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Large margin hierarchical classification
O. Dekel, Joseph Keshet, Y. Singer
2004International Conference on Machine Learning266 citations
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Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret
R. Arora, O. Dekel, Ambuj Tewari
2012International Conference on Machine Learning218 citations
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Log-Linear Models for Label Ranking
O. Dekel, Y. Singer, Christopher D. Manning
2003Neural Information Processing Systems218 citations
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The Forgetron: A Kernel-Based Perceptron on a Budget
O. Dekel, S. Shalev-Shwartz, Y. Singer
2008SIAM journal on computing (Print)203 citations Open access
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Incentive compatible regression learning
O. Dekel, Felix A. Fischer, Ariel D. Procaccia
2008ACM-SIAM Symposium on Discrete Algorithms194 citations Open access
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Online Learning with Feedback Graphs: Beyond Bandits
N. Alon, N. Cesa-Bianchi, O. Dekel, Tomer Koren
2015Annual Conference Computational Learning Theory185 citations
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Learning to classify with missing and corrupted features
O. Dekel, Ohad Shamir, Lin Xiao
2008International Conference on Machine Learning179 citations Open access
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Vox Populi: Collecting High-Quality Labels from a Crowd
O. Dekel, Ohad Shamir
2009Annual Conference Computational Learning Theory164 citations
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Selective sampling and active learning from single and multiple teachers
O. Dekel, C. Gentile, Karthik Sridharan
2012Journal of machine learning research156 citations
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Online Learning with Switching Costs and Other Adaptive Adversaries
N. Cesa-Bianchi, O. Dekel, Ohad Shamir
2013Neural Information Processing Systems140 citations
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The Forgetron: A Kernel-Based Perceptron on a Fixed Budget
O. Dekel, S. Shalev-Shwartz, Y. Singer
2005Neural Information Processing Systems124 citations
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Bandits with switching costs: T2/3 regret
O. Dekel, Jian Ding, Tomer Koren, Y. Peres
2013Symposium on the Theory of Computing117 citations
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Good learners for evil teachers
O. Dekel, Ohad Shamir
2009International Conference on Machine Learning104 citations
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Multiclass-Multilabel Classification with More Classes than Examples
O. Dekel, Ohad Shamir
2010International Conference on Artificial Intelligence and Statistics80 citations
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Online Multitask Learning
O. Dekel, Philip M. Long, Y. Singer
2006Annual Conference Computational Learning Theory80 citations
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Online Learning of Multiple Tasks with a Shared Loss
O. Dekel, Philip M. Long, Y. Singer
2007Journal of machine learning research74 citations
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Optimal Distributed Online Prediction
O. Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
2011International Conference on Machine Learning69 citations
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Robust Selective Sampling from Single and Multiple Teachers.
O. Dekel, C. Gentile, Karthik Sridharan
2010Annual Conference Computational Learning Theory61 citations
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Adaptive Neural Networks for Fast Test-Time Prediction
T. Bolukbasi, Joseph Wang, O. Dekel, Venkatesh Saligrama
2017arXiv.org58 citations
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An Online Algorithm for Hierarchical Phoneme Classification
O. Dekel, Joseph Keshet, Y. Singer
2004Machine Learning for Multimodal Interaction58 citations
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Support Vector Machines on a Budget
O. Dekel, Y. Singer
2006Neural Information Processing Systems52 citations
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Online Learning with a Hint
O. Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet
2017Neural Information Processing Systems50 citations
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Multiclass Learning by Probabilistic Embeddings
O. Dekel, Y. Singer
2002Neural Information Processing Systems41 citations
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Bandit Convex Optimization: \(\sqrt{T}\) Regret in One Dimension
Sébastien Bubeck, O. Dekel, Tomer Koren, Y. Peres
2015Annual Conference Computational Learning Theory39 citations
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Data-Driven Online to Batch Conversions
O. Dekel, Y. Singer
2005Neural Information Processing Systems38 citations
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Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
O. Dekel, Ronen Eldan, Tomer Koren
2015Neural Information Processing Systems36 citations
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Better Rates for Any Adversarial Deterministic MDP
O. Dekel, Elad Hazan
2013International Conference on Machine Learning36 citations
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Deterministic MDPs with Adversarial Rewards and Bandit Feedback
R. Arora, O. Dekel, Ambuj Tewari
2012Conference on Uncertainty in Artificial Intelligence34 citations
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From Online to Batch Learning with Cutoff-Averaging
O. Dekel
2008Neural Information Processing Systems32 citations
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Smooth e-Intensive Regression by Loss Symmetrization
O. Dekel, S. Shalev-Shwartz, Y. Singer
2005Annual Conference Computational Learning Theory28 citations
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The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
O. Dekel, S. Shalev-Shwartz, Y. Singer
2004Neural Information Processing Systems23 citations
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Smooth ε-insensitive regression by loss symmetrization
O. Dekel, S. Shalev-Shwartz, Y. Singer
2003Annual Conference Computational Learning Theory21 citations
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Machine learning on the edge
O. Dekel
2017TiML '1720 citations
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A Boosting Algorithm for Label Covering in Multilabel Problems
Y. Amit, O. Dekel, Y. Singer
2007International Conference on Artificial Intelligence and Statistics19 citations
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Smooth epsiloon-Insensitive Regression by Loss Symmetrization
O. Dekel, S. Shalev-Shwartz, Y. Singer
2005Journal of machine learning research13 citations
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There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems
O. Dekel, Ohad Shamir
2012International Conference on Artificial Intelligence and Statistics12 citations
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Individual Sequence Prediction Using Memory-Efficient Context Trees
O. Dekel, S. Shalev-Shwartz, Y. Singer
2009IEEE Transactions on Information Theory11 citations Open access
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Distribution-Calibrated Hierarchical Classification
O. Dekel
2009Neural Information Processing Systems9 citations
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“They said we ruined the character and our religion”: authenticity and legitimation of hijab cosplay
H. El-Jurdi, Mona Moufahim, O. Dekel
2021Qualitative Market Research7 citations
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Bundle Selling by Online Estimation of Valuation Functions
Daniel Vainsencher, O. Dekel, Shie Mannor
2011International Conference on Machine Learning6 citations
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The changing orientation of marketing: an emerging post‐modern perspective
O. Dekel, C. Prince, G. Beaver
20076 citations
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Robust Distributed Online Prediction
O. Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
2010arXiv.org5 citations
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The Blinded Bandit: Learning with Adaptive Feedback
O. Dekel, Elad Hazan, Tomer Koren
2014Neural Information Processing Systems4 citations
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Multiclass-Multilabel Learning when the Label Set Grows with the Number of Examples
O. Dekel, Ohad Shamir
20094 citations
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Learning SMaLL Predictors
Vikas K. Garg, O. Dekel, Lin Xiao
2018Neural Information Processing Systems3 citations
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Online Learning with Composite Loss Functions
O. Dekel, Jian Ding, Tomer Koren, Y. Peres
2014Annual Conference Computational Learning Theory2 citations
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